ML Architect With 3D Point

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

3D Computer Graphics
Artificial Intelligence
C++
Cloud Computing
Continuous Delivery
Data Conversion
Data Architecture
Machine Learning (ML)
Data Extraction
PyTorch
OpenCV
Optical Character Recognition
Process Flow
Programming Languages
Natural Language Processing
Servers
Python
Docker
GPU
Git
Industry-specific
Knowledge Transfer
Modeling
Continuous Integration
TensorFlow
Thought Leadership
Mentorship
Continuous Integration and Development
Software Development
Collaboration
Analytics

Job Details

3D Point Cloud ML Architect/Developer

Fully Remote Minimal travel (<10%) to CT offices. This is not mandatory and only required if client requires it.

3D Point Cloud ML Architect/Developer
Agentic AI framework

ML Engineering

3D point cloud data extraction

Are you located in or able to travel to Hartford, CT?

Are you an expert in 3D point cloud data extraction?

Are you a hands on developer with multiple skills in ML Engineering?
Do you have Agentic AI framework experience?
Are you a ?
Do you carry in addition to ship other country citizenships?

A Senior ML Engineer (>10 years of experience in software development of which last 3 years have done ML flow hands-on) for an on-premises solution. He/She will design and implement machine learning systems for advanced 3D point cloud analytics and document data extraction. This role prioritizes local infrastructure, high security, and data sovereignty, building solutions entirely within internal servers and networks.

Short Job Description

  • Develop, test, and deploy ML pipelines for 3D point cloud processing, including registration, filtering, segmentation, and modeling on local servers.
  • Extract and classify data from documents using OCR and NLP, all using solutions that are within on-prem environments.
  • Optimize performance for large data volumes leveraging local GPU clusters and accelerated computing.
  • Ensure robust integration with in-house IT systems and secure storage frameworks.
  • Collaborate with multidisciplinary teams for continuous solution improvement.

On-Prem Tools & Technologies

  • 3D Point Cloud: Open3D, PCL (C++), CloudCompare, MeshLab.
  • ML/DL Frameworks: PyTorch, TensorFlow (on local machines or clusters).
  • NLP/OCR: spaCy, Tesseract, OpenCV, local implementations of HuggingFace models.
  • Infrastructure: Docker, Git, local CI/CD, on-prem GPU infrastructure.
  • Must have - Continuous development using Programming languages - Python, C++.

Additional Needs:

  • Agentic AI framework experience is a plus
  • Previous work experience in RTX or defense would be extremely helpful
  • Collaboratively work with multiple engineers and customer architecture teams - Data architecture, Data scientists, full stack and project team to deliver to the project outcomes
  • Must have coding skills to handle on-prem - All solutions are expected to be hosted, processed, and secured entirely within the organization s physical premises, not in cloud platforms.
  • Must have proven track record of working under exigent schedules, with less details present at the start of the project
  • Some travel to the customer may be required (<10% of time) for multiple needs - software bring up, ML flow changes and so on.

    • -Process Flows

    -Mentor and Knowledge transfer to client project team members

    -Participate as primary, co and/or contributing author on any and all project deliverables associated with their assigned areas of responsibility

    -Participate in data conversion and data maintenance

    -Provide best practice and industry specific solutions

    -Advise on and provide alternative (out of the box) solutions

    -Provide thought leadership as well as hands on technical configuration/development as needed.

    -Participate as a team member of the team

    -Perform other duties as assigned

    - Documentations as per customer requirements

    - Do not disclose the project and/or necessary details to anyone outside of the project team

    Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.